Mac Studio (2023)
Geekbench AI Score
4624
Single Precision Score
25562
Half Precision Score
28537
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | May 01 2025 09:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1462
271.9 IPS |
|
|
Image Classification (HP)
|
100% |
13506
2.51 KIPS |
|
|
Image Classification (Q)
|
96% |
15741
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19426
314.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24513
397.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18523
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
105024
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103291
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (HP)
|
99% |
15662
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17291
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
35191
418.1 IPS |
|
|
Face Detection (Q)
|
100% |
45228
537.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85815
661.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
105603
825.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27661
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201577
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189824
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39953
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47781
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2807
48.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2951
51.0 IPS |
